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How do subjective life expectancies compare with mortality tables? Similarities and differences in three national samples

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  • Bell, D.N.F.
  • Comerford, D.A.
  • Douglas, E.

Abstract

Estimates of personal longevity play a vital role in decisions relating to asset accumulation and decumulation. Subjective life expectancy (SLE) is a measure of individuals’ expectation of remaining years of life. Either explicitly or implicitly, it is a key determinant of consumption and savings behaviour, and may be guided by a person’s own health and health behaviours. The Gateway to Global Aging, a platform for the Health and Retirement Study’s (HRS) family of population surveys, provides harmonised longitudinal datasets for many countries, each based on individual survey responses from respondents aged 50 and above. In this paper, we analyse SLE three of these datasets: the English Longitudinal Study of Ageing (ELSA), The Irish Longitudinal Study of Ageing (TILDA) and Healthy Ageing in Scotland (HAGIS). First, we focus on measurement of SLE, followed by the SLE differential – the discrepancy between SLE and mortality risk indicated by population life tables. One novel finding from our analysis is that the SLE differential is positive for Ireland and is negative for Scotland and England. This difference does not appear to be explained by differences of survey design or population characteristics.

Suggested Citation

  • Bell, D.N.F. & Comerford, D.A. & Douglas, E., 2020. "How do subjective life expectancies compare with mortality tables? Similarities and differences in three national samples," The Journal of the Economics of Ageing, Elsevier, vol. 16(C).
    • Handle: RePEc:eee:joecag:v:16:y:2020:i:c:s2212828x20300062
    DOI: 10.1016/j.jeoa.2020.100241
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    1. Luc Bissonnette & Michael D. Hurd & Pierre‐Carl Michaud, 2017. "Individual survival curves comparing subjective and observed mortality risks," Health Economics, John Wiley & Sons, Ltd., vol. 26(12), pages 285-303, December.
    2. Daniel S. Hamermesh, 1985. "Expectations, Life Expectancy, and Economic Behavior," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 100(2), pages 389-408.
    3. Péter Hudomiet & Robert J. Willis, 2013. "Estimating Second Order Probability Beliefs from Subjective Survival Data," Decision Analysis, INFORMS, vol. 10(2), pages 152-170, June.
    4. Cormac O'Dea & David Sturrock, 2018. "Subjective expectations of survival and economic behaviour," IFS Working Papers W18/14, Institute for Fiscal Studies.
    5. Michael D. Hurd & Kathleen McGarry, 2002. "The Predictive Validity of Subjective Probabilities of Survival," Economic Journal, Royal Economic Society, vol. 112(482), pages 966-985, October.
    6. Michael D. Hurd, 2009. "Subjective Probabilities in Household Surveys," Annual Review of Economics, Annual Reviews, vol. 1(1), pages 543-564, May.
    7. Wu, Shang & Stevens, Ralph & Thorp, Susan, 2015. "Cohort and target age effects on subjective survival probabilities: Implications for models of the retirement phase," Journal of Economic Dynamics and Control, Elsevier, vol. 55(C), pages 39-56.
    8. Todd Elder, 2013. "The Predictive Validity of Subjective Mortality Expectations: Evidence From the Health and Retirement Study," Demography, Springer;Population Association of America (PAA), vol. 50(2), pages 569-589, April.
    9. Lindsay C Kobayashi & Rebecca J Beeken & Susanne F Meisel, 2017. "Biopsychosocial predictors of perceived life expectancy in a national sample of older men and women," PLOS ONE, Public Library of Science, vol. 12(12), pages 1-16, December.
    10. Schoenbaum, M., 1997. "Do smokers understand the mortality effects of smoking? Evidence from the health and retirement survey," American Journal of Public Health, American Public Health Association, vol. 87(5), pages 755-759.
    11. Angela Fagerlin & Catharine Wang & Peter A. Ubel, 2005. "Reducing the Influence of Anecdotal Reasoning on People’s Health Care Decisions: Is a Picture Worth a Thousand Statistics?," Medical Decision Making, , vol. 25(4), pages 398-405, July.
    12. Manski, Charles F. & Molinari, Francesca, 2010. "Rounding Probabilistic Expectations in Surveys," Journal of Business & Economic Statistics, American Statistical Association, vol. 28(2), pages 219-231.
    13. Griffin, Barbara & Loh, Vanessa & Hesketh, Beryl, 2013. "A mental model of factors associated with subjective life expectancy," Social Science & Medicine, Elsevier, vol. 82(C), pages 79-86.
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    4. David A. Comerford, 2021. "Apparent age and gender differences in survival optimism: To what extent are they a bias in the translation of beliefs onto a percentage scale?," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 16(4), pages 1072-1096, July.

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